{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "646efde1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "最近 2 年上涨月数 / 总月数：10 / 24 ≈ 41.67%\n",
      "最近 3 年上涨月数 / 总月数：13 / 36 ≈ 36.11%\n",
      "最近 5 年上涨月数 / 总月数：27 / 60 ≈ 45.00%\n",
      "最近 8 年上涨月数 / 总月数：47 / 96 ≈ 48.96%\n",
      "最近 10 年上涨月数 / 总月数：57 / 120 ≈ 47.50%\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import akshare as ak\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import datetime\n",
    "\n",
    "# ===== 参数 =====\n",
    "symbol = \"C0\"\n",
    "year_spans = [2, 3, 5, 8, 10]\n",
    "\n",
    "today = datetime.datetime.today()\n",
    "full_start_date = (today - pd.DateOffset(years=max(year_spans))).strftime('%Y%m%d')\n",
    "end_date = today.strftime('%Y%m%d')\n",
    "\n",
    "# ===== 获取数据 =====\n",
    "df = ak.futures_main_sina(symbol=symbol, start_date=full_start_date, end_date=end_date)\n",
    "df[\"日期\"] = pd.to_datetime(df[\"日期\"])\n",
    "df = df.sort_values(\"日期\")\n",
    "\n",
    "# ===== 统计每年周期内的上涨月份次数 =====\n",
    "bar_data = {}\n",
    "\n",
    "for years in year_spans:\n",
    "    cutoff = today - pd.DateOffset(years=years)\n",
    "    df_cut = df[df[\"日期\"] >= cutoff].copy()\n",
    "\n",
    "    df_cut[\"ym\"] = df_cut[\"日期\"].dt.to_period(\"M\")\n",
    "\n",
    "    # 获取每月首日开盘与末日收盘\n",
    "    monthly = df_cut.groupby(\"ym\").agg(\n",
    "        open_price=(\"开盘价\", \"first\"),\n",
    "        close_price=(\"收盘价\", \"last\"),\n",
    "        month=(\"日期\", lambda x: x.iloc[0].month)\n",
    "    )\n",
    "    monthly[\"up\"] = monthly[\"close_price\"] > monthly[\"open_price\"]\n",
    "\n",
    "    # 每月上涨次数\n",
    "    up_counts = monthly.groupby(\"month\")[\"up\"].sum()\n",
    "    total_counts = monthly.groupby(\"month\")[\"up\"].count()\n",
    "    up_counts = up_counts.reindex(range(1, 13), fill_value=0)\n",
    "    total_counts = total_counts.reindex(range(1, 13), fill_value=0)\n",
    "\n",
    "    bar_data[years] = up_counts\n",
    "\n",
    "    total_up = up_counts.sum()\n",
    "    total_months = total_counts.sum()\n",
    "    prob = total_up / total_months if total_months else 0\n",
    "\n",
    "    print(f\"最近 {years} 年上涨月数 / 总月数：{total_up:.0f} / {total_months:.0f} ≈ {prob:.2%}\")\n",
    "\n",
    "# ===== 画图：上涨次数 =====\n",
    "plt.figure(figsize=(12, 6))\n",
    "bar_width = 0.1\n",
    "months = np.arange(1, 13)\n",
    "offsets = np.linspace(-bar_width * len(year_spans) / 2, bar_width * len(year_spans) / 2, len(year_spans))\n",
    "\n",
    "for i, years in enumerate(year_spans):\n",
    "    counts = bar_data[years]\n",
    "    plt.bar(months + offsets[i], counts.values, width=bar_width, label=f\"{years}年\")\n",
    "\n",
    "plt.xticks(months, [f\"{m}月\" for m in months], rotation=-90)\n",
    "plt.xlabel(\"月份\")\n",
    "plt.ylabel(\"上涨次数\")\n",
    "plt.title(f\"{symbol.upper()} 各周期每月上涨次数\")\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.5)\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  }
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